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A sandbox server for testing and debugging MCP tools and interactions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-sandbox" yet — see the docs or source repo.
In mcp-sandbox, simulate an MCP tool call, capture the request, response, and errors, and help me identify why it failed.
A complete call debug log with likely error sources and suggested fixes.
Use mcp-sandbox to verify whether this MCP tool interaction flow is correct, focusing on parameter passing, returned results, and error handling.
A validation report showing whether each step works correctly and listing any issues found.
Using mcp-sandbox and MCP Inspector, reproduce this issue scenario and generate reusable test steps.
A reproducible issue report, step-by-step test procedure, and follow-up troubleshooting suggestions.
Verify MCP server responses by returning a unique canary identity string.
Run commands, manage long jobs, and transfer files in AI sandboxes.
Give AI agents authenticated sandbox access and a restricted path for safe production deploys.
Safely run any code in isolated Docker containers for testing and automation.
Manage Agent Platform sandboxes with MCP start, stop, and status tools.
Access, search, and safely edit sandboxed files with structure management.